Ryan T. Moore 6 July 2015 Department of Government American University Ward Circle Building, Room 226 4400 Massachusetts Avenue NW, Washington, DC 20016-8130 202.885.6470 (o) 202.885.2967 (f) [email protected] http://ryantmoore.com Academic Appointments Assistant Professor. American University, Department of Government, 2014-present. Assistant Professor. Washington University in St. Louis, Department of Political Science, 2008-2014. Scholar in Health Policy Research. University of California, Berkeley/UCSF, Robert Wood Johnson Foundation, 2010-2012. Education Ph.D., Government and Social Policy. Harvard University, Cambridge, MA, June 2008. A.M., Statistics. Harvard University, Cambridge, MA, June 2006. B.A., Political Science and Mathematics. Yale University, New Haven, CT, May 1997. Publications Refereed Journal Articles Shenson, Douglas, Ryan T. Moore, William Benson, and Lynda A. Anderson. “Polling Places, Pharmacies, and Public Health: Vote & Vax 2012”. American Journal of Public Health, 105(6):e12–e15, June 2015. Paper | Dataverse | JAMA Coverage Moore, Ryan T. “Overcoming Barriers to Heterogeneous-Group Learning in the Political Science Classroom”. PS: Political Science & Politics, 48(1):149–156, 2015. Paper | Dataverse Moore, Ryan T. and Sally A. Moore. “Blocking for Sequential Political Experiments”. Political Analysis, 21(4):507–523, 2013. Paper | Dataverse Moore, Ryan T., Eleanor Neff Powell, and Andrew Reeves. “Driving Support: Workers, PACs, and Congressional Support of the Auto Industry”. Business and Politics, 15(2):137–162, 2013. Paper | Dataverse Moore, Ryan T. “Multivariate Continuous Blocking to Improve Political Science Experiments”. Political Analysis, 20(4):460–479, Autumn 2012. Paper | Dataverse Moore, Ryan T. and Christopher T. Giovinazzo. “The Distortion Gap: Policymaking Under Federalism and Interest Group Capture”. Publius: The Journal of Federalism, 42(2):189–210, Spring 2012. Paper | Supplement Ryan T. Moore Moore, Ryan T. and Nirmala Ravishankar. “Who Loses in Direct Democracy?”. Social Science Research, 41(3):646–656, May 2012. Paper | Dataverse Moore, Ryan T. and Andrew Reeves. “The Job Market’s First Steps: Using Research Tools to Simplify the Process”. PS: Political Science & Politics, 44(2):385–391, April 2011 Paper | Software King, Gary, Emmanuela Gakidou, Kosuke Imai, Jason Lakin, Ryan T. Moore, Clayton Nall, Nirmala Ravishankar, Manett Vargas, Martha Mar´ıa T´ellez-Rojo, Juan ´ ´ Eugenio Hern´ andez Avila, Mauricio Hern´andez Avila, and H´ector Hern´andez Llamas. “Public Policy for the Poor? A Randomized Assessment of the Mexican Universal Health Insurance Program”. The Lancet, 373(9673):1447–54, 25 April 2009. Paper | Dataverse Dalton, W. Brian, Mandayam O. Nandan, Ryan T. Moore, and Vincent W. Yang. “Human Cancer Cells Commonly Acquire DNA Damage During Mitotic Arrest”. Cancer Research, 67(24):11487–11492, 15 December 2007. Lau, Olivia, Ryan T. Moore and Michael Kellermann. “eiPack: R × C Ecological Inference and Higher-Dimension Data Management”. R News, 7(2):43–47, 2007. Paper King, Gary, Emmanuela Gakidou, Nirmala Ravishankar, Ryan T. Moore, Jason Lakin, ´ Manett Vargas, Martha Mar´ıa T´ellez-Rojo, Juan Eugenio Hern´andez Avila, ´ Mauricio Hern´ andez Avila and H´ector Hern´andez Llamas. “A ‘Politically Robust’ Experimental Design for Public Policy Evaluation, with Application to the Mexican Universal Health Insurance Program”. Journal of Policy Analysis and Management, 26(3):479–509, 2007. Paper Book Chapters Moore, Ryan T. and Andrew Reeves. “Learning from Place in the Era of Geolocation”. In Jennifer Bachner, Kathryn Wagner Hill, and Benjamin Ginsberg, editors, Analytics, Policy and Governance. Yale University Press, 2015. Invited and Other Publications Montgomery, Jacob M. and Ryan T. Moore. “Building and Maintaining R Packages with devtools and roxygen2”. The Political Methodologist, 22(1):26–31, 2014. Paper | Blog post Moore, Ryan T. “Blocking Political Science Experiments: Why, How, and Then What?”. The Experimental Political Scientist, 1(1):3–5, October 2010. Moore, Ryan T. “Review of Essential Mathematics for Political and Social Research, by Jeff Gill”. The Political Methodologist, 14(2):16–18, 2006. Software Valdeolmillos, Pedro, Ryan T. Moore, and Andrew Reeves. “Milieu”. Apple App Store, Version 1.0., July 2015. Information: http://milieu.cc. App Store: http://appstore.com/milieusurveys 2 Ryan T. Moore 3 Moore, Ryan T. and Keith Schnakenberg. blockTools: Blocking, Assignment, and Diagnosing Interference in Randomized Experiments, January 2015. R package version 0.6-2. http://ryantmoore.com/software.blockTools.htm. Moore, Ryan T. and Andrew Reeves. muRL: Mailmerge using R, LaTeX, and the Web, August 2013. R package version 0.1-9. http://ryantmoore.com/software.muRL.htm. Lau, Olivia, Ryan T. Moore and Michael Kellermann. eiPack: Ecological Inference and Higher-Dimension Data Management, 2007-2012. R package version 0.1-7. http://olivialau.org/software/eiPack.html. Teaching Experience American University, Washington, DC “Political Power and American Public Policy” “Conduct of Inquiry II: Topics in Multiple Regression” Fall 2014 Spring 2015 Washington University, St. Louis, MO “The Welfare State and Social Policy in America” “Research Seminar in Applied Statistics: Causal Inference” “Mathematical Modeling in Political Science” Senior Thesis Advisor, 2 honors theses Spring 2009-10, 2013-14; Fall ’12 Spring 2010 Fall 2008-09, 2012-13 2009-2010, 2013-2014 ICPSR Summer Program, Ann Arbor, MI “Causal Inference for the Social Sciences” Summer 2012 Harvard University, Cambridge, MA “Quantitative Social Science and the Law”(joint w/HLS) “Hierarchical Bayesian Modeling” “Quantitative Methods for Political Science I” “Math Prefresher for Political Scientists” Senior Thesis Advisor, 5 honors theses Spring 2008 Spring 2005 Fall 2004, 2005 Sept 2004, 2005 2005-2008 Fellowships, Grants, and Awards Faculty Research Support Grant for geotargeted survey data, awarded December 2014. Weidenbaum Center on the Econ, Govt, and Pub Policy, geographic data grant, 2014. RWJ Pilot Grant for “Health Opinion and Representation in the US States”, 2012. Weidenbaum Center on the Econ, Govt, and Pub Policy, statehouse ideology research grant, 2012. Weidenbaum Center on the Econ, Govt, and Pub Policy, pensions research grant, 2009. Harvard University, Dissertation Completion Grant, 2007-2008. IQSS and Harvard Travel Grants, useR! Conference, Vienna, Austria, June 2006. European Network on Inequality research grant, U. Pompeu Fabra, Barcelona, Spain, June 2005. National Science Foundation, IGERT grant 0333403, multiyear, awarded 2003. National Science Foundation, Grant for Graduate Research, Honorable Mention, 2003. Harvard University Grant for Graduate Study, Sept 2002 to June 2007. Ryan T. Moore 4 Selected Presentations Invited Presentations Paper, Women’s and Minority Representation Workshop, McGill University, Montr´eal, Qu´ebec, August 2015. “Causal Inference Seminar”. Toronto Political Behaviour Workshop, November 2013. American Politics & Public Policy Workshop, Yale University, October 2013. “Public Policy for the Poor? A Randomised Assessment of the Mexican Universal Health Insurance Program”. World Bank/SIEF Impact Evaluation Workshop for Health Sector Reform, Cape Town, South Africa, December 2009. “Seminar Series on Statistical Methods”. Harvard Institute for Global Health, Post-Bachelor Fellows Program. Topics included Survey Sampling, Design, and Analysis; Missing Data; Binary Data Models and Random & Fixed Effects; Bayesian Data Analysis and Computation; Visualizations of Data; Nov 2006 – June 2007. “Matching for Robust Causal Inference for Seguro Popular”. Harvard Institute for Global Health, Harvard Center for Population and Development Studies, Sept 2006. Selected Conference Presentations “Overcoming Barriers to Heterogeneous-Group Learning”, paper and software demo, Ann Ferren Conference on Teaching, Research, and Learning, January 2015. “Milieu: Defining Racial Context with Geolocation Data”, paper, Toronto Political Behaviour Workshop, November 2014. “Reconceptualizing Political Context”, poster, Asian Political Methodology meeting 2014. “Genetic Algorithms for Experimental Design”, American Pol Sci Assn (APSA) 2013. “Where Credit is Due: Political Successes in Public Opinion”, Midwest Pol Sci Assn. (MPSA) 2012. “Driving Support: Factories, PACs, and Congressional Support of the Auto Industry”, MPSA 2012. “An Alternative to the Pocock-Simon Method for Trickle-in Random Assignment”, 9th International Conference on Health Policy Statistics 2011. “Blocking for Sequential Political Experiments”, APSA 2011. “Elections, Appointments, Copartisans, and the Affordable Care Act in the States”, APSA 2011. “Generalizing and Stabilizing the Augmented Inverse Propensity Weighted Estimator”, MPSA 2011. “The Distortion Gap: Policymaking under Federalism and Interest Group Capture”, MPSA 2010. “Blocking in Sequential Experiments: Improving Causal Inference with Covariate Information”. Poster, Political Methodology summer meeting (PolMeth) 2009. “A Model of Federalism under Conflict and Interest Group Distortion”, Political Economy of Democratic Institutions II Conference 2009. “Blocking to Improve Political Science Field Experiments”, MPSA 2008. “blockTools: Blocking, Assignment, and Diagnosing Interference for Randomized Experiments”, poster, useR! Conference 2007. “Intrastate Robin Hoods?: Voting for Old Age Pensions in the US States”, paper, MPSA 2007. “Design and Causal Inference for Mexico’s Seguro Popular”, poster, PolMeth 2006. “eiPack: Tools for R × C Ecological Inference and Higher-Dimension Data Management”, paper and poster, useR! Conference/Austrian Assn. for Statistical Computing 2006. Ryan T. Moore 5 “Bayesian Imputation for Causal Inference”, Harvard Univ Graduate Methods Master Class 2005. “The Threat of Welfare Migration: A Spatial Approach”, MPSA 2004. Professional Service To the Discipline Author Peer-reviewed article (“The Job Market’s First Steps: Using Research Tools to Simplify the Process”) and software (muRL) to scrape APSA eJobs and write TEX letters from spreadsheets. Referee, Journals American Journal of Political Science; American Politics Research; The American Statistician; British Journal of Political Science; Harvard Law Review; Journal of Human Resources; Journal of Politics; Journal of Public Administration Research and Theory; Policy & Internet; Political Analysis; Political Behavior; Sociological Methods and Research; State and Local Government Review; State Politics and Policy Quarterly; Statistics, Politics and Policy Referee, Books Routledge Publishers Conference Chair & Discussant “Spatial Explanations” (MPSA 2015); “Money and Politics” (ASQPS 2014) Conference Chair “Business and Politics in American Political Development” (MPSA 2009) Conference Discussant “New Sources of (Big) Data” (APSA 2015); “Improving Best Practices for Statistical Analysis” (APSA 2015); “Blocking Reduces, if not Removes, Attrition Bias” (PolMeth 2015); “Civic Duty and Participation” (MPSA 2013); “Optimal Targeting of Political Advertising” (PolMeth 2011); “Maximizing Substantive Inferences from TSCS Models” (SLAMM 2010); “Controversial Health Policies in the States” (MPSA 2010); “Average Causal Effects from Observational Studies: A Practical Guide and Simulated Example”, by J.L. Schafer and J.D.Y. Kang (PolMeth 2007) To the Department and School Politics, Policy, and Law (3-yr BA) Advisory Board, School of Public Affairs 2014-2015 Faculty/Director of WIPAR Search Committee, School of Public Affairs 2014-2015 Educational Policy Committee, School of Public Affairs 2014-2015 PhD Program Advisory Committee, Department of Government 2014-2015 Gill Family Foundation Scholarship Committee, School of Public Affairs 2014-2015 PhD dissertation committee member, Department of Government (Nadi, ABD) 2014-2015 Faculty Search Committee, American Politics 2012-2013 Graduate Admissions Committee 2012-2013 Graduate Summer Math Camp 2008-09, 2012-13 PhD Dissertation Examination Committee (Pang) 2010 Graduate Methods Field Exam Committee 2009-10, 2014 Undergraduate honors thesis advisor 2009-10, 2013-14 Undergraduate major advisor 2009-10, 2012-14 Political Science Undergraduate Awards Committee 2008-10 Ryan T. Moore Professional Affiliations Research Networks Experiments in Governance and Politics (EGAP), Hewlett Foundation (Member, Peer Review Core Group) Center for Congressional and Presidential Studies (CCPS), American University Institute for Public Health, Washington University in St. Louis Institute for Quantitative Social Science (IQSS), Harvard University Associations American Statistical Association (ASA) Society for Political Methodology (SPM) Midwest Political Science Association (MPSA) Southern Political Science Association (SPSA) American Political Science Association (APSA) Association for Public Policy Analysis and Management (APPAM) 6
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